Approaches to prioritising research for clinical trial networks: a scoping review

Rachael L Morton1, Haitham Tuffaha2, Vendula Blaya-Novakova3

  • 1National Health and Medical Research Council Clinical Trials Centre (NHMRC CTC), University of Sydney, Sydney, Australia. rachael.morton@sydney.edu.au.

Trials
|December 12, 2022
PubMed
Abstract

Insights

Prioritizing clinical trials ensures efficient research by addressing knowledge gaps and patient needs. Incorporating quantitative methods can enhance the transparency of current interpretative prioritization approaches.

Area of Science:

  • Clinical research methodology
  • Health services research
  • Evidence-based medicine

Background:

  • Effective clinical trial prioritization is crucial for meeting stakeholder needs, optimizing resource allocation, and preventing research duplication.
  • This review aimed to identify and evaluate research prioritization methods relevant to clinical trials.
  • The goal was to inform best practice guidelines for clinical trial networks and funders.

Purpose of the Study:

  • To identify and critically appraise existing research prioritization approaches for clinical trials.
  • To inform the development of best practice guidelines for clinical trial networks and funders.
  • To assess the methods and criteria used in clinical trial prioritization.

Main Methods:

  • A comprehensive scoping review of published literature and research organization websites from January 2000 to January 2020.
  • Inclusion of English-language studies and data from 78 primary studies and 18 websites.
  • Data extraction, tabulation, and narrative synthesis to analyze prioritization approaches and criteria.

Main Results:

  • Research prioritization predominantly occurred in oncology and neurology, driven by knowledge gaps (65%) and patient-important topics (35%).
  • Interpretative approaches (e.g., Delphi, consensus workshops) were most common (73%), followed by blended (18%) and quantitative (8%) methods.
  • Key prioritization criteria included relevance, appropriateness, significance, feasibility, and cost-effectiveness.

Conclusions:

  • Current clinical trial prioritization methods are predominantly interpretative.
  • There is a significant opportunity to enhance the transparency of prioritization processes by integrating quantitative approaches.
  • Improved transparency in prioritization can lead to more robust and impactful clinical trial strategies.

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